{"id":"W6931516474","doi":"10.5281/zenodo.7839853","title":"chuajiang/Daytime-Ionospheric-Irregularities-in-the-Topside-Equatorial-Ionosphere: V2","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Habitat Canada (Canada)","funders":"","keywords":"Process (computing); Product (mathematics); Work (physics); Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008312184,0.00243709,0.001244359,0.003027377,0.0006165862,0.002513593,0.001799981,0.0009958954,0.2170525],"category_scores_gemma":[0.001525711,0.0007893807,0.001058996,0.003892506,0.0004252011,0.001213334,0.002305348,0.0009723715,0.2014455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919457,"about_ca_system_score_gemma":0.001052369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305623,"about_ca_topic_score_gemma":0.01046422,"domain_scores_codex":[0.9995356,0.00005123378,0.00003437975,0.0001178498,0.0001645013,0.00009636311],"domain_scores_gemma":[0.9988287,0.000185405,0.0001102343,0.0004730585,0.000153772,0.000248803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004011113,0.0000524749,0.005802626,0.0008316683,0.0001001982,0.000226932,0.0001470172,0.002209167,0.003577445,0.003819971,0.899047,0.08378433],"study_design_scores_gemma":[0.00019214,0.00005699179,0.01890928,0.0001565266,0.00004738422,0.0003393123,0.0001229909,0.007527234,0.004878671,0.00583687,0.9618418,0.00009074509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00444248,0.0006972316,0.01923464,0.0005366711,0.0004018101,0.0002310471,0.8527704,0.08102305,0.04066262],"genre_scores_gemma":[0.02167544,0.0004775665,0.01680207,0.0002440956,0.0002136604,0.000417289,0.8910618,0.04316358,0.02594446],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7829475,"threshold_uncertainty_score":0.7261131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624532970824324,"score_gpt":0.2416066052993226,"score_spread":0.2153612755910794,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}